{"id":"W2981950366","doi":"10.1145/3308561.3354612","title":"30 Years Later","year":2019,"lang":"en","type":"article","venue":"","topic":"Persona Design and Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Persona; Subject (documents); Computer science; Data science; Population; World Wide Web; Sociology; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000261586,0.00001903965,0.00002156149,0.00001187517,0.000008475564,0.00003155279,0.0002282077,0.00001011855,0.0003643239],"category_scores_gemma":[4.352799e-7,0.00001591648,0.00001138098,0.0000620439,0.000003308536,0.000080364,0.00003823587,0.00001774989,0.009564356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003410479,"about_ca_system_score_gemma":0.000006884683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003128452,"about_ca_topic_score_gemma":1.991548e-7,"domain_scores_codex":[0.9997782,0.000003170648,0.00002560589,0.00008862396,0.00004539122,0.0000590501],"domain_scores_gemma":[0.9997596,0.000007135101,0.000004913851,0.0002034101,0.000005388074,0.00001956652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[3.03069e-7,0.00003214696,0.002539873,0.000002007961,0.000005053851,0.000002223338,0.0003933335,0.000006853496,0.02893225,0.9016278,0.03330689,0.0331513],"study_design_scores_gemma":[0.0004924412,0.00005481229,0.1126993,0.000005681678,0.000001999295,0.00001261196,0.00003053315,0.08188559,0.009967975,0.01689025,0.7775872,0.0003715873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3215405,0.00001889905,0.4434074,0.001844008,0.0001409532,0.0001442084,4.542812e-7,0.0003066474,0.232597],"genre_scores_gemma":[0.9698715,7.743978e-7,0.01783533,0.0008270681,0.000009423655,0.00000328125,2.020707e-7,0.000001289663,0.01145117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8847375,"threshold_uncertainty_score":0.9912068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344169097994963,"score_gpt":0.2289925810383996,"score_spread":0.2155508900584499,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}